This article by Nina Xiang originally appeared on China Money Network, the best data intelligence platform tracking China’s tech and venture capital markets (access requires subscription).

Entering 2019, the buzzword in the artificial intelligence industry has taken a decidedly new tone. “Bottleneck” has been much talked about, from opinion articles questioning if deep learning “will be the best long-term solution” for building intelligent machines,” to startup founders openly discussing the limitations of its future potentials.

The latest such reflection came from Yuan Peijiang, founder of Chinese AI startup SensingTech. “One of the biggest challenges for artificial intelligence is that we have reached a bottleneck of the current technology, and it’s difficult to achieve more breakthroughs from it,” Yuan, a Tsinghua graduate and a Ph. D [holder] in electronics and computer engineering from the University of Western Ontario, told China Money Network at SensingTech’s Beijing office last month. “From the capital markets’ perspective, there will be a bottleneck in terms of returns. That means capital investments will decrease and the industry’s growth will slow.”

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